A global pharmaceutical enterprise transformed its fragmented reporting ecosystem by adopting a PBIP-driven Power BI modernization strategy with MathCo. The initiative introduced version-controlled BI development, standardized KPI definitions, and enterprise governance, reducing report development timelines while enabling trusted, scalable analytics across R&D, commercial, and supply chain functions.
Case Study Topic: Data Management
Creating a Single Source of Truth for Delivery Performance with an AI-Driven Health Index
A large enterprise transformed fragmented delivery metrics into a unified, decision-ready view with MathCo’s Delivery Health Index. The solution consolidated critical KPIs, delivered real-time performance visibility, and enabled early risk identification across operations, empowering leaders to shift from reactive monitoring to proactive, data-driven decision-making. Discover how we made delivery health measurable at scale.
Driving Proactive Operations Through AI-Powered Hotspot Analytics
A global technology enterprise modernized its reactive hotspot identification process with MathCo’s unified, ML-powered analytics platform. The solution automated detection, surfaced key drivers, and delivered intuitive insights, reducing customer disruption by 20% and enabling proactive operations. Discover how AI-driven hotspot analytics made it possible.
Unified Governance & Accelerated ML Innovation with Unity Catalog
Sobeys accelerated ML and GenAI innovation by building a unified governance foundation on Databricks Unity Catalog. Discover how the platform enabled end-to-end data lineage, audit-ready compliance, and a 70% reduction in dataset onboarding time to drive faster, trusted AI-driven retail decisions.
Automating Data Quality to Power High-Velocity MMM
MathCo transformed MMM for a global pharma leader by eliminating tagging errors, file delays, and manual data fixes through an automated DQ Rule Engine and Watchtower. This end-to-end framework reduced data quality issues by 70%, restored trust in inputs, and enabled fully on-demand MMM cycles for faster, more reliable decision-making.
Accelerating Obsolete Part Matching with an AI-Powered Cognitive Match Engine
Discover how MathCo helped a global manufacturer accelerate obsolete part matching using AI. Through the Cognitive Match Engine, we custom built a data extraction framework, unified fragmented data, achieved near 100% accuracy, and reduced response times from days to seconds, boosting efficiency, revenue, and customer satisfaction.
Enabling Scalable & Governed Data Ingestion
A global CPG manufacturer partnered with MathCo to modernize its data ingestion using a metadata-driven framework on Azure Data Factory. The solution standardized data pipelines, automated deployments, and improved governance through Unity Catalog and Azure Purview. It reduced data quality issues by 40%, saved 5,000+ hours in pipeline development, and accelerated data onboarding by 50%, enabling faster, trusted insights across analytics products.
Maximizing Revenue with Smarter Segmentation & Attribution
Discover how a leading retailer partnered with MathCo to build scalable campaign analytics pipelines, enabling smarter customer segmentation and precise marketing attribution. The solution improved data quality by 50%, reduced pipeline runtime by 60%, and boosted visitor identification accuracy from ~30% to over 50%, driving faster insights, more effective retargeting, and higher marketing ROI.
Health Equity Analysis: Leveraging SDOH for Targeted Interventions
Learn how a global healthcare leader transformed its brand uptake and health equity analysis process with a scalable, in-house health equity analysis system. By leveraging it, they identified geographies of greatest health disparities, achieved targeted and relevant insights, and gained full operational control for improved health intervention planning and long-term scalability.
Optimizing Manufacturing Performance with Data-Driven Centerlining
Data-Driven Centerlining revolutionizes manufacturing. Discover how a global packaging manufacturer automated analysis, optimized machine setpoints, and enabled data-driven decisions, boosting yield, quality, and efficiency.